Ingabe i-L4 iyashesha ngokwanele ukuxoxa nama-LLM?

Kumamodeli angu-7B–14B, yebo. I-bandwidth yayo yememori engu-221 GB/s inciphisa ama-token ngomzuzwana uma iqhathaniswa ne-RTX 4090 noma i-A100, ngakho-ke ifaneleka kangcono ukusetshenziswa okuncane kanyekanye kanye nemisebenzi ye-batch kunokusebenza kwetraffic enkulu.

I-L4 vs RTX 4090: iyiphi okufanele ngiyiqqashe?

I-RTX 4090 ifakwe ohlwini nge-24 GB, 81.4 TFLOPS kanye ne-879 GB/s, ngakho-ke iyashesha kakhulu. I-L4 inketho ye-datacenter, esebenzisa amandla aphansi (72 W) ene-22 GB, elungele lapho izidingo zomthamo zizincane.

Ingabe i-L4 ingakwazi ukusebenzisa i-Stable Diffusion kanye ne-Flux?

Yebo. I-SD 1.5 ne-SDXL zisebenza kahle, kanti i-Flux isebenza ngefomethi ye-FP8 noma ye-GGUF e-quantized. Lindela ukukhiqizwa kwezithombe okuhamba kancane kunezamakhadi aphezulu e-Ada, njengoba i-FP32 icishe ibe ngu-24.2 TFLOPS.

I-Cloudj ilikhokhisa kanjani iseva ye-L4?

Ngehora ngenkathi isebenza kusuka kubhalansi ye-akhawunti yakho, noma ngenkokhelo yanyanga zonke noma isikhathi eside ngesaphulelo esiboniswa ngaphambi kokukhokha. Iseva yangehora emisiwe ikhokhelwa kuphela i-disk yayo.

GPU Cloud · NVIDIA · Ada Lovelace

Qasha i-NVIDIA L4 GPU ene-22 GB VRAM

Qasha amaseva e-cloud GPU e-L4 ngehora ku-Cloudj: i-VRAM engu-22 GB, i-architecture ye-Ada Lovelace kanye cishe ne-24.2 TFLOPS FP32 emandleni amancane angu-72 W kuphela. Ilungele onjiniyela abasebenzisa i-inference esheshayo, ukuguqula inkulumo ibe umbhalo, ama-embedding kanye namaphayiphu e-video abadinga imemori engaphezulu kwekhadi le-8–16 GB ngaphandle kokukhokhela imali enkulu yamafulegi. Qala nge-template ye-PyTorch, i-vLLM noma i-Ollama bese uxhuma nge-SSH.

Qasha i-L4 Wonke ama-GPU

Imininingwane ye-L4

VRAM nge-GPU ngayinye

22 GB

Architecture

NVIDIA Ada Lovelace

Compute capability

8.9

Ukubala kwe-FP32

≈ 24.2 TFLOPS

I-bandwidth yememori

≈ 221 GB/s

Umkhawulo wamandla

72 W

Amanani abikwa umhlinzeki wengqalasizinda yemishini ebalwe ohlwini njengamanje; ukusebenza kwangempela kuyehluka ngomshini ngamunye.

Izilungiselelo zamanje nezintengo ze-L4

Isitoko esibukhoma nezintengo, kubuyekezwa ngokuqhubekayo. Intengo yokugcina iqinisekiswa ngaphambi kokuba u-ode.

Qasha manje

Ongakusebenzisa ku-cloud GPU ye-L4

Ama-LLM angu-7B–8B nge-16-bit

I-22 GB igcina imodeli engu-8B nge-16-bit noma imodeli e-quantized engu-13B–14B yama-chatbot, ama-agent kanye nama-API angaphakathi.

Ukuguqula inkulumo ibe umbhalo nama-embedding

Sebenzisa i-transcription yohlobo lwe-Whisper, ama-reranker namamodeli e-embedding ubusuku nemini ekhadini elisebenzisa amandla aphansi.

Ukukhiqizwa kwezithombe nge-SDXL

I-ComfyUI ene-SDXL ne-Flux ngefomethi ye-FP8 noma ye-GGUF ingena ngokukhululekile ku-22 GB.

Ama-endpoint e-inference asebenza njalo

Umkhawulo wamandla ongu-72 W wenza i-L4 ibe ikhadi elihle kakhulu lezinsizakalo ezincane ezidinga ukuhlala zisebenza ngaso sonke isikhathi kunokusebenza ngezikhathi ezithile kuphela.

Ingabe i-L4 iyi-GPU efanele umsebenzi wakho?

Khetha i-L4 uma udinga i-22 GB ye-VRAM kanye nekhono le-compute le-Ada Lovelace elingu-8.9 le-inference noma imisebenzi yokuthuthukisa emaphakathi. Dlulela ku-datacenter GPU enkulu kakhulu uma amamodeli akho edlula i-22 GB noma edinga i-bandwidth yememori engaphezu kuka-221 GB/s, noma khetha ikhadi elincane lemisebenzi eyisisekelo yokuthuthukisa edinga imemori encane.

L4 uma iqhathaniswa nama-cloud GPU afanayo

GPU	VRAM nge-GPU ngayinye	Ukubala kwe-FP32	Umkhawulo wamandla
NVIDIA L4	22 GB	≈ 24.2 TFLOPS	72 W
NVIDIA Tesla P40	24 GB	≈ 9.4 TFLOPS	250 W	Imininingwane →
NVIDIA Tesla V100	16 GB	≈ 12.5 TFLOPS	300 W	Imininingwane →
NVIDIA A100 PCIE	40 GB	≈ 15.6 TFLOPS	250 W	Imininingwane →
NVIDIA A100 SXM4	40 GB	≈ 15.6 TFLOPS	400 W	Imininingwane →

I-cloud GPU ye-L4: imibuzo evame ukubuzwa

Qasha i-cloud GPU ye-L4 ngehora

Khetha ithempulethi, khetha izilungiselelo zamanje bese uxhuma nge-SSH noma itheminali yesiphequluli. Ukukhokhisa kuyama uma ususa i-GPU.

Qasha i-L4 Wonke ama-GPU